Jadwiga Furmaniak
- Endocrinology, Diabetes and Metabolism top 0.2%
- Genetics top 1%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Bernard Rees SmithJane SandersSandra M. McLachlanCorrado BetterleMichele K. EvansTonya RichardsRicardo Núñez MiguelM Volpato
- Topics
- Thyroid Disorders and Treatments (48 papers)Adrenal Hormones and Disorders (36 papers)Monoclonal and Polyclonal Antibodies Research (34 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Jadwiga Furmaniak
130 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 3.4k
- Genetics 1.3k
- Molecular Biology 1.1k
- Radiology, Nuclear Medicine and Imaging 708
- Pathology and Forensic Medicine 571
Countries citing papers authored by Jadwiga Furmaniak
This map shows the geographic impact of Jadwiga Furmaniak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jadwiga Furmaniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jadwiga Furmaniak more than expected).
Fields of papers citing papers by Jadwiga Furmaniak
This network shows the impact of papers produced by Jadwiga Furmaniak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jadwiga Furmaniak. The network helps show where Jadwiga Furmaniak may publish in the future.
Co-authorship network of co-authors of Jadwiga Furmaniak
This figure shows the co-authorship network connecting the top 25 collaborators of Jadwiga Furmaniak. A scholar is included among the top collaborators of Jadwiga Furmaniak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jadwiga Furmaniak. Jadwiga Furmaniak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 27 | |
| 7 | 14 | |
| 8 | 62 | |
| 9 | 66 | |
| 10 | 35 | |
| 11 | 45 | |
| 12 | 47 | |
| 13 | 8 | |
| 14 | 19 | |
| 15 | 22 | |
| 16 | 35 | |
| 17 | 12 | |
| 18 | 5 | |
| 19 | 80 | |
| 20 | Autoantibodies to the Thyrotropin Receptorbreakdown → | 496 |
About Jadwiga Furmaniak
Jadwiga Furmaniak is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 131 papers that have together received 4.8k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (48 papers), Adrenal Hormones and Disorders (36 papers) and Monoclonal and Polyclonal Antibodies Research (34 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.4k citations), Reproductive Medicine (442 citations) and Genetics (1.3k citations). Jadwiga Furmaniak has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Bernard Rees Smith, Jane Sanders, Sandra M. McLachlan, Corrado Betterle, Michele K. Evans, Tonya Richards, Ricardo Núñez Miguel, M Volpato, Shu Chen and Fabio Presotto. Their work appears in journals such as The Lancet, Endocrine Reviews and The Journal of Clinical Endocrinology & Metabolism.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.